The company is positioning this approach as a turning point for robotics, comparable to what large generative models have done for text and images.

We anticipate that students possess a grasp of fundamental mathematical concepts equivalent to those covered in the first year of studies for STEM majors at a US college. Additionally, a familiarity ...

Nature Research Intelligence Topics Topic summaries Engineering Control Engineering, Mechatronics and Robotics Simulation, Modelling, and Programming of Mechatronics Systems The field of mechatronics ...

Researchers at Archetype AI have developed a foundational AI model capable of learning complex physics principles directly from sensor data, without any pre-programmed knowledge. This breakthrough ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Nvidia has launched its Cosmos world ...

Cyber-physical systems, such as autonomous vehicles, robots, and smart buildings, are engineering systems that rely upon the close interaction and seamless integration of cyber subsystems (e.g., ...

Mathematicalmodels of cardiac action potentials have become increasingly important in the study of heart disease and pharmacology, but concerns linger over their robustness during long periods of ...